5 citations · 5 across the 1 of their papers we have counts for
3 papers
eess.AS2020
Probabilistic embeddings for speaker diarization
Anna Silnova, Niko Brümmer, Johan Rohdin +2
Speaker embeddings (x-vectors) extracted from very short segments of speech have recently been shown to give competitive performance in speaker diarization. We generalize this reci…
stat.ML2016
Note on the equivalence of hierarchical variational models and auxiliary deep generative models
Niko Brümmer
This note compares two recently published machine learning methods for constructing flexible, but tractable families of variational hidden-variable posteriors. The first method, ca…
stat.AP2013★ 5 cited
Tutorial for Bayesian forensic likelihood ratio
Niko Brümmer
In the Bayesian paradigm for presenting forensic evidence to court, it is recommended that the weight of the evidence be summarized as a likelihood ratio (LR) between two opposing…